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  • API
  • Converters
  • Core
  • Galleries
  • Command Lines
  • Installation
  • Getting Started
  • Miscellaneous
  • GitHub

Section Navigation

  • Core Gallery
    • Command Line: python -m yobx print
    • Comparing the four ONNX translation APIs
    • Comparing the three evaluators
    • Computed Shapes: Add + Concat + Reshape
    • Expressions in Shape Computation
    • ExtendedReferenceEvaluator: running models with contrib operators
    • MiniOnnxBuilder: serialize tensors to an ONNX model
    • ONNX Graph Visualization with to_dot
  • Scikit-learn Gallery
    • Converting a scikit-learn KMeans to ONNX
    • Converting a scikit-learn Pipeline to ONNX
    • Converting a scikit-learn model to ONNX with spox
    • Converting sksurv IPCRidge to ONNX
    • Exporting FunctionTransformer with numpy tracing
    • Exporting sklearn estimators as ONNX local functions
    • Exporting sklearn tree models with convert options
    • Float32 vs Float64: precision loss with PLSRegression
    • KNeighbors: choosing between CDist and standard ONNX
    • Using sklearn-onnx to convert any scikit-learn estimator
  • SQL Gallery
    • SQL queries to ONNX
  • PyTorch Gallery
    • Applying patches to a model and displaying the diff
    • Export a LLM with InputObserver (with Tiny-LLM)
    • InputObserver with Transformers Cache
    • InputObserver: recording inputs for ONNX export
    • Registering a custom class as a pytree node
  • TensorFlow Gallery
    • Converting a JAX function to ONNX
    • Converting a TensorFlow/Keras model to ONNX
  • LiteRT Gallery
    • Converting a TFLite/LiteRT model to ONNX
  • Galleries
  • LiteRT Gallery

LiteRT Gallery#

Converting a TFLite/LiteRT model to ONNX

Converting a TFLite/LiteRT model to ONNX

Download all examples in Python source code: auto_examples_litert_python.zip

Download all examples in Jupyter notebooks: auto_examples_litert_jupyter.zip

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